{"url":"/dataset/twitter-hydrug-ur","name":"Twitter-HyDrug-UR","full_name":"Twitter Hypergraph Drug for User Roles","description_markdown":"This benchmark hypergraph dataset, Twitter-HyDrug-UR,  is derived from Twitter-HyDrug by [HyGCL-DC](https://github.com/GraphResearcher/HyGCL-DC). Twitter-HyDrug-UR is a real-world hypergraph data that describes the drug trafficking on Twitter. Unlike HyGCL-DC, which targets a drug trafficking community detection task (a multi-label node classification), we aim to identify drug user roles in drug trafficking activities on social media. To this end, we categorize node labels into four distinct roles: drug seller, drug buyer, drug user, and drug discussant, and each node is assigned to one and only one label. Consequently, we frame the problem for Twitter-HyDrug-UR as a multi-class node classification task.","description_withheld":null,"homepage":"https://github.com/graphprojects/HyGCL-AdT","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Node Classification","url":"/task/node-classification","datasets_with_task":"/datasets/task/node-classification"},{"name":"Hypergraph Contrastive Learning","url":"/task/hypergraph-contrastive-learning","datasets_with_task":"/datasets/task/hypergraph-contrastive-learning"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Twitter-HyDrug-UR"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/hypergraph-contrastive-learning-on-twitter","task":"Hypergraph Contrastive Learning","dataset_variant":"Twitter-HyDrug-UR","rows":1,"metrics":["Accuray"],"first_row_in_archive_order":{"model":"HyGCL-AdT","paper":"/paper/dual-level-hypergraph-contrastive-learning","metrics":{"Accuray":"68.76 ± 0.41"},"code_links":[{"title":"graphprojects/HyGCL-AdT","url":"https://github.com/graphprojects/HyGCL-AdT"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/dual-level-hypergraph-contrastive-learning","title":"Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement","date":"2024-05-14","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}